Top Hybrid Software Engineer Jobs in Dallas-Fort Worth, TX

Lead and mentor a data engineering team, oversee data systems architecture, and implement modern data technologies and best practices.

Lead the development of an AI-powered AML platform, guiding a team in best practices, architecture, and delivering high-quality software solutions using Java and React.

The Senior Software Engineer will design, develop, and deploy scalable AI-driven solutions using Python and AWS, while mentoring junior engineers.

Support the development of data-driven visibility and analytics tools across a large-scale service provider network, assisting in dashboard deployment and network observability capabilities.

Develop Golang and Node.js based GraphQL web services, contribute to scalable interactive ecommerce applications, and mentor junior engineers, optimizing performance and collaborating on new features.

Lead reverse-engineering and modernization of legacy .NET monoliths and n-tier applications. Extract undocumented business logic and data dependencies, produce current-state architecture and data flow models, identify technical debt and risks, design target architectures (including microservices), define migration strategies, support refactoring and data migration, and translate findings for technical and non-technical stakeholders.

The Senior Salesforce Developer will enhance the Salesforce Health Cloud platform, design and maintain custom solutions, manage integrations, and support data models to improve healthcare journeys for members.

As a Senior Software Engineer, you will develop and maintain core system features, manage large data pools, and lead key technical decisions. Your role involves handling integrations, improving system performance, collaborating with stakeholders, and refining development practices.

The Lead Data Engineer/Architect designs and implements GCP solutions, focusing on data pipelines, architecture, and leadership in a client-facing role.

Design and build SafetyChain's AI-enabled platform, focusing on enterprise applications. Collaborate with Product and AI/ML teams to develop scalable systems.